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E-backtesting

open access: yesManagement Science, 2022
In the recent Basel Accords, the Expected Shortfall (ES) replaces the Value-at-Risk (VaR) as the standard risk measure for market risk in the banking sector, making it the most important risk measure in financial regulation. One of the most challenging tasks in risk modeling practice is to backtest ES forecasts provided by financial institutions ...
Qiuqi Wang, Ruodu Wang, Johanna Ziegel
openaire   +2 more sources

Investment Modelling Using Value at Risk Bayesian Mixture Modelling Approach and Backtesting to Assess Stock Risk

open access: yesJournal of Information Systems Engineering and Business Intelligence, 2021
Background: Stock investment has been gaining momentum in the past years due to the development of technology. During the pandemic lockdown, people have invested more. One the one hand, stock investment has high potential profitability, but on the other,
Brina Miftahurrohmah   +2 more
doaj   +1 more source

Validating the backtests of risk measures [PDF]

open access: yes, 2007
Paper presented at INFINITI Conference on International Finance 11-12 June 2007, Trinity College Dublin. Also presented at Financial Management Association Annual Meeting, Orlando, Florida , 18-20 October 2007Financial risk model evaluation or ...
Cotter, John, Zhong, Yan Ping
core   +1 more source

Elicitability and backtesting: Perspectives for banking regulation [PDF]

open access: yes, 2017
Conditional forecasts of risk measures play an important role in internal risk management of financial institutions as well as in regulatory capital calculations.
Natalia Nolde   +3 more
core   +3 more sources

Forecasting Value-at-Risk under Different Distributional Assumptions

open access: yesEconometrics, 2016
Financial asset returns are known to be conditionally heteroskedastic and generally non-normally distributed, fat-tailed and often skewed. These features must be taken into account to produce accurate forecasts of Value-at-Risk (VaR).
Manuela Braione, Nicolas K. Scholtes
doaj   +1 more source

THE APPLICATION OF GUMBEL COPULA TO ESTIMATE VALUE AT RISK WITH BACKTESTING IN TELECOMMUNICATION STOCK

open access: yesBarekeng, 2023
The Value at Risk (VaR) method refers to a statistical risk measurement tool used to determine the maximum loss of an investment, while the distribution that must be met is the normal distribution.
Alimatun Najiha   +2 more
doaj   +1 more source

Sensitivity Analysis of Two-Step Multinomial Backtests for Evaluating Value-at-Risk [PDF]

open access: yesتحقیقات مالی, 2022
Objective: Nowadays, the measurement of the risk of the marketplace has a significant effect on investments; however, the inadequate evaluation of this risk will cause a financial crisis and possible bankruptcy.
Mohamad Ali Rastegar, Mehdi Hemati
doaj   +1 more source

Backtesting macroprudential stress tests [PDF]

open access: yesJournal of Economic Dynamics and Control, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ramadiah, A, Fricke, D, Caccioli, F
openaire   +4 more sources

Intraday volatility and VaR: an evidence from the construction sector [PDF]

open access: yesUrbanism. Arhitectura. Constructii, 2016
This article presents the outcomes from the estimation of the multiplicative component GARCH model for intraday data from the construction sector in Poland.
Krzysztof Drachal
doaj  

Nonparametric Estimation of Range Value at Risk

open access: yesComputation, 2023
Range value at risk (RVaR) is a quantile-based risk measure with two parameters. As special examples, the value at risk (VaR) and the expected shortfall (ES), two well-known but competing regulatory risk measures, are both members of the RVaR family. The
Suparna Biswas, Rituparna Sen
doaj   +1 more source

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